The Impact of AI on Skilled Worker Jobs — We Are Not Immune
Artificial
intelligence (AI) is rapidly reshaping – and in some case, re-inventing - the
labour market — not just in routine roles but also in highly skilled
professions. It’s interesting to see that organisations like J.P. Morgan
to tech consultancies are already seeing AI influence job growth patterns and
the very nature of professional work. This is across most industries, including
AV industry.
What The Major
Players Are
Saying
If
we have a look at a few statistics, J.P.
Morgan’s Global Research highlights that AI has already begun to affect employment patterns,
particularly among college graduates in fields tied to technology and design.
Their research shows that majors such as computer engineering, graphic
design, and industrial engineering — all foundational to network and AV
systems design — have experienced rising unemployment rates, suggesting
that AI exposure may be disrupting demand for traditional roles. In some tech
subsectors like computer systems design, job growth has slowed noticeably since
large language models became widely available.
At the
same time however, J.P. Morgan analysts acknowledge AI’s role in boosting
productivity and reducing time and costs in creative and technical tasks,
including code, images, and audio-visual content generation — which are
directly relevant to professionals in network and systems design.
Some Broader Insights
According
to labour market analyses, AI tends to reshape jobs rather than wipe them out
completely:
- Many workers are using AI to
assist, and even enhance their capabilities — automating the more repetitive
parts of complex tasks such as routine code generation, documentation, or
system configuration — while humans focus on strategic and creative work.
- Across industries, roles
most affected by AI have slower job growth, but demand is rising
for skills that allow workers to collaborate with AI tools,
shifting emphasis from degrees to practical competencies.
For our industry,
these trends are particularly relevant in areas like computer network design
and audio-visual systems integration, where AI can assist with network
planning, simulation, automated configuration, and even design documentation —
but human expertise remains crucial for the more intangible stuff - strategic
decision making, complex problem solving, client interaction, and bespoke
system design.
What This Means for Computer Network & AV
Designers
For skilled
professionals in network and AV systems:
- Yes, task automation is a
real thing,
but it’s primarily affecting routine sub-tasks like configuration
templates, basic signal flow documentation, and initial design drafts.
- AI works best as a
collaborator, a colleague
if you will, allowing designers to explore more sophisticated solutions,
optimise performance faster, and iterate with greater speed and precision.
- Upskilling matters: This is where it gets important,
as workers with advanced AI literacy — who can interpret, correct and
guide AI outputs — are becoming more valuable than those focused only on
traditional workflows.
So for
those in the areas like network design or AV systems, AI isn’t a replacement
for expert judgement, but it is changing the skill composition of jobs,
(what the job entails essentially) emphasising adaptability, systems thinking,
and AI-assisted workflows.
So – It’s Change Without Elimination?
AI’s
impact on skilled jobs seems like it’s one of those double-edged sword scenarios
— it no doubt accelerates efficiency and creates new opportunities, but it also
challenges traditional roles. If we look at what firms like J.P. Morgan are
saying, that certain tech design disciplines face employment shifts and
slowing growth, but demand for creative problem-solving, integration
expertise, and human oversight is still there. Hopefully for a long time to
come...
The key
takeaway for professionals in tech design sectors is that embracing AI as a
tool — rather than viewing it as a threat — can be the most effective way to
stay future-proof.

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